code: def __init__(
      self, inplanes, interplanes, outplanes, scale_factor=None
  ):
      super().__init__()
      self.bn1 = nn.BatchNorm2D(inplanes)
      self.relu = nn.ReLU()
      self.conv_bn_relu = layers.ConvBNReLU(
          inplanes,
          interplanes,
          kernel_size=3,
          padding=1,
          bias_attr=False,
      )
      self.conv = nn.Conv2D(
          interplanes,
          outplanes,
          kernel_size=1,
          padding=0,
          bias_attr=True,
      )
  
      self.scale_factor = scale_factor
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models import layers
  from paddleseg.utils import utils
label_desc: Use image node_id 1 to create a new DDRNetHead object from inherited base classes: nn with example: obj = DDRNetHead(inplanes, interplanes, outplanes, scale_factor)